{"id":"https://openalex.org/W3108212103","doi":"https://doi.org/10.1145/3384419.3430726","title":"MobiPose","display_name":"MobiPose","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3108212103","doi":"https://doi.org/10.1145/3384419.3430726","mag":"3108212103"},"language":"en","primary_location":{"id":"doi:10.1145/3384419.3430726","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384419.3430726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101961350","display_name":"Jinrui Zhang","orcid":"https://orcid.org/0000-0001-9035-3050"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinrui Zhang","raw_affiliation_strings":["Central South University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705648","display_name":"Deyu Zhang","orcid":"https://orcid.org/0000-0002-5676-1285"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Zhang","raw_affiliation_strings":["Central South University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101190554","display_name":"Xiaohui Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Xu","raw_affiliation_strings":["Central South University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018703107","display_name":"Fucheng Jia","orcid":"https://orcid.org/0009-0009-7125-4386"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fucheng Jia","raw_affiliation_strings":["Central South University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102880548","display_name":"Yunxin Liu","orcid":"https://orcid.org/0000-0001-7352-8955"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yunxin Liu","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052249316","display_name":"Xuanzhe Liu","orcid":"https://orcid.org/0000-0002-7908-8484"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanzhe Liu","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015419107","display_name":"Ju Ren","orcid":"https://orcid.org/0000-0003-2782-183X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Ren","raw_affiliation_strings":["Central South University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069049205","display_name":"Yaoxue Zhang","orcid":"https://orcid.org/0000-0001-6717-461X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoxue Zhang","raw_affiliation_strings":["Tsinghua University and Central South University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University and Central South University","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8646875619888306},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.8027203679084778},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6844412088394165},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.6071898937225342},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5952233076095581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5569286346435547},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5008444786071777},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4970534145832062},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43860459327697754},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.42584770917892456},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4208654761314392},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.11075851321220398}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8646875619888306},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8027203679084778},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6844412088394165},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.6071898937225342},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5952233076095581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5569286346435547},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5008444786071777},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4970534145832062},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43860459327697754},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.42584770917892456},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4208654761314392},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.11075851321220398},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3384419.3430726","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384419.3430726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W752852524","https://openalex.org/W1901129140","https://openalex.org/W1912967058","https://openalex.org/W1936750108","https://openalex.org/W1966668827","https://openalex.org/W2029016069","https://openalex.org/W2038387802","https://openalex.org/W2040378481","https://openalex.org/W2041649634","https://openalex.org/W2080873731","https://openalex.org/W2154057028","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2344474200","https://openalex.org/W2535114562","https://openalex.org/W2559085405","https://openalex.org/W2606722458","https://openalex.org/W2626129225","https://openalex.org/W2742737904","https://openalex.org/W2752782242","https://openalex.org/W2806126660","https://openalex.org/W2806188488","https://openalex.org/W2808423829","https://openalex.org/W2885965959","https://openalex.org/W2889332130","https://openalex.org/W2889402930","https://openalex.org/W2890125283","https://openalex.org/W2893181787","https://openalex.org/W2903650079","https://openalex.org/W2913841731","https://openalex.org/W2918957870","https://openalex.org/W2931092525","https://openalex.org/W2963076818","https://openalex.org/W2963163009","https://openalex.org/W2963370182","https://openalex.org/W2963402313","https://openalex.org/W2964105113","https://openalex.org/W2965289829","https://openalex.org/W2999276659","https://openalex.org/W3101962329","https://openalex.org/W3106250896","https://openalex.org/W3107396195","https://openalex.org/W4236965008","https://openalex.org/W4301409532"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W4391547476","https://openalex.org/W2004851054"],"abstract_inverted_index":{"Human":[0],"pose":[1,50,110,132,179],"estimation":[2,51,111,133,180],"is":[3],"a":[4,20,43,62,95,193],"key":[5],"technique":[6],"for":[7,89,135],"many":[8],"vision-based":[9],"mobile":[10,26,53,235],"applications.":[11],"Yet":[12],"existing":[13],"multi-person":[14,49],"pose-estimation":[15,214],"methods":[16],"fail":[17],"to":[18,32,46,65,104,129,160,197,221],"achieve":[19],"satisfactory":[21],"user":[22],"experience":[23],"on":[24,52,152,203,227,234],"commodity":[25],"devices":[27,54],"such":[28],"as":[29],"smartphones,":[30],"due":[31],"their":[33],"long":[34],"model-inference":[35],"latency.":[36,145],"In":[37],"this":[38],"paper,":[39],"we":[40],"propose":[41],"MobiPose,":[42],"system":[44,151],"designed":[45],"enable":[47],"real-time":[48],"through":[55],"three":[56],"novel":[57],"techniques.":[58,167],"First,":[59],"MobiPose":[60,93,118,150,172,218],"takes":[61],"motion-vector-based":[63],"approach":[64],"fast":[66],"locate":[67],"the":[68,85,107,114,120,131,143,149,162,165,189,232],"human":[69,80],"proposals":[70],"across":[71],"consecutive":[72],"frames":[73,176],"by":[74],"fine-grained":[75],"tracking":[76],"of":[77,79,109,124,164,195,211],"joints":[78],"body,":[81],"rather":[82],"than":[83],"running":[84],"expensive":[86],"human-detection":[87],"model":[88,97,115,134,215],"every":[90],"frame.":[91],"Second,":[92],"designs":[94],"mobile-friendly":[96],"that":[98,171],"uses":[99],"lightweight":[100],"multi-stage":[101],"feature":[102],"extractions":[103],"significantly":[105,187],"reduce":[106],"latency":[108,202],"without":[112],"compromising":[113],"accuracy.":[116,216],"Third,":[117],"leverages":[119],"heterogeneous":[121],"computing":[122],"resources":[123],"both":[125],"CPU":[126,204,236],"and":[127,156,186,199,205,208,223,237],"GPU":[128],"execute":[130],"multiple":[136],"persons":[137,183],"in":[138,201,213,229],"parallel,":[139],"which":[140],"further":[141],"reduces":[142],"total":[144],"We":[146],"have":[147],"implemented":[148],"off-the-shelf":[153],"commercial":[154],"smartphones":[155],"conducted":[157],"comprehensive":[158],"experiments":[159],"evaluate":[161],"effectiveness":[163],"proposed":[166],"Evaluation":[168],"results":[169],"show":[170],"achieves":[173,219],"over":[174],"20":[175],"per":[177,184],"second":[178],"with":[181,192,231],"3":[182],"frame,":[185],"outperforms":[188],"state-of-the-art":[190],"baseline,":[191],"speedup":[194],"up":[196,220],"4.5X":[198],"2.8X":[200],"GPU,":[206,238],"respectively,":[207],"an":[209],"improvement":[210],"5.1%":[212],"Furthermore,":[217],"62.5%":[222],"37.9%":[224],"energy-per-frame":[225],"saving":[226],"average":[228],"comparison":[230],"baseline":[233],"respectively.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2020-12-07T00:00:00"}